“myHerbs”: A mobile based application for herbal leaf recognition using sift / Nur Nabilah Abu Mangshor …[et al.]

Abu Mangshor, Nur Nabilah and Abdul Rahman, Mohamed Al Arabee and Sabri, Nurbaity and Ibrahim, Shafaf and Ibrahim, Zaidah and Shari, Anis Amilah (2020) “myHerbs”: A mobile based application for herbal leaf recognition using sift / Nur Nabilah Abu Mangshor …[et al.]. Gading Journal of Science and Technology, 3 (2). pp. 187-196. ISSN (e-ISSN) : 2637 - 0018

Abstract

Herbs are plant with exquisite or sweet-smelling properties that been widely used since ancient times and are still used until today. Herbs generally refers to the leafy green, which are some of them have the same appearance, color and shape. Due to that, most of the ordinary people have trouble in recognizing the herbal species because of the similar features and appearances of the herbs leaf. In addition, the complexity of the structure of the herbs leaf itself contributes to the difficulty in recognizing its species. Other than that, botanist also had spent a lot of time to examine herbal species and classify them into group. Hence, this study proposed an automated mobile-based application for herb leaf recognition, “myHerbs. This study covers two species of the local herbs. The species of the herbs used in this study are Basil (Selasih) and Centella (Pegaga). All images used in this study are self-collected. Scale Invariant Feature Transform (SIFT) algorithm is used for extracting features from the herbs leaf and Fast Library for Approximate Nearest Neighbors (FLANN) algorithm is used for the classification purpose. 55 images have been evaluated for the testing purpose and the accuracy rate of 74.55% is achieved. The outcome of this study is believed to help the botanist and people in recognizing herbs species. In addition, it also contributes to the exploration and implementation of learning algorithm in mobile-based application.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Abu Mangshor, Nur Nabilah
nurnabilah@uitm.edu.my
Abdul Rahman, Mohamed Al Arabee
UNSPECIFIED
Sabri, Nurbaity
UNSPECIFIED
Ibrahim, Shafaf
UNSPECIFIED
Ibrahim, Zaidah
UNSPECIFIED
Shari, Anis Amilah
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Mobile computing
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Algorithms
Q Science > QD Chemistry > Organic chemistry
Divisions: Universiti Teknologi MARA, Pahang > Jengka Campus
Journal or Publication Title: Gading Journal of Science and Technology
UiTM Journal Collections: UiTM Journal > Gading Journal of Science and Technology (GADINGS&T)
ISSN: (e-ISSN) : 2637 - 0018
Volume: 3
Number: 2
Page Range: pp. 187-196
Keywords: Basil, Centella, FLANN, Herbs leaf recognition, Mobile-based application, SIFT
Date: September 2020
URI: https://ir.uitm.edu.my/id/eprint/46086
Edit Item
Edit Item

Download

[thumbnail of 46086.pdf] Text
46086.pdf

Download (693kB)

ID Number

46086

Indexing

Statistic

Statistic details